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Why variance is bigger than standard deviation?
The variance is standard deviation squared, or, in other terms, the standard deviation is the square root of the variance. In many cases, this means that the variance is bigger than the standard deviation - but not always, it depends on the specific values.
What is the normal distribution for clothing sizes?
You can find regulations about clothing sizes in the EN 13402 standard, and a series of physical measurements in the SIRI-dataset. Reading the standard, I see that t-shirt sizes (men), for example, are mainly based on chest circumferences. Size 'M' is suitable for chest circumferences between 94 and 102 cm. Size S is 8 cm smaller, size L is 8 cm bigger, XL is 16 cm bigger and XS is 16 cm smaller than size M. When I calculate the median and standard deviation of all the chest circumferences (adult males) I find in the SIRI-dataset, I find a median of 99.6 cm, and - surprise - a standard deviation of 8.4 cm. So, I tend to believe that clothing sizes follow, in some way, the normal distribution. Size M refers to the median size, and the intervals between the size codes have about the same value as the standard deviation. So, size S is one standard deviation smaller than size M, and XL is two standard deviations bigger than size M. If haven't checked other types of clothes and other physical sizes, so I cannot guarantee that my conclusion is correct for any type of garment.
How many town lot in an acre?
A town lot is not a standard measure!A town lot is not a standard measure of area. So some town lots are bigger than others and therefore there will be fewer such lots in an acre.
What is the definition for skew in math terms?
The skewness of a random variable X is the third standardised moment of the distribution. If the mean of the distribution is m and the standard deviation is s, then the skewness, g1 = E[{(X - m)/s}3] where E is the expected value. Skewness is a measure of the degree to which data tend to be on one side of the mean or the other. A skewness of zero indicates symmetry. Positive skewness indicates there are more values that are below the mean but the the ones that are above the mean, although fewer, are substantially bigger. Negative skewness is defined analogously.
What is bigger 5.8 or 5.08?
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Does the size of the standard deviation of a data set depend on where the center is?
Yes it does. The center, which is the mean, affects the standard deviation in a potisive way. The higher the mean is, the bigger the standard deviation.
Why variance is bigger than standard deviation?
The variance is standard deviation squared, or, in other terms, the standard deviation is the square root of the variance. In many cases, this means that the variance is bigger than the standard deviation - but not always, it depends on the specific values.
What is the difference between standard error of sample mean and sample standard deviation?
Standard error A statistical measure of the dispersion of a set of values. The standard error provides an estimation of the extent to which the mean of a given set of scores drawn from a sample differs from the true mean score of the whole population. It should be applied only to interval-level measures. Standard deviation A measure of the dispersion of a set of data from its mean. The more spread apart the data is, the higher the deviation,is defined as follows: Standard error x sqrt(n) = Standard deviation Which means that Std Dev is bigger than Std err Also, Std Dev refers to a bigger sample, while Std err refers to a smaller sample
What is bigger a monster truck or a tank?
As there is no standard minimum or maximum size for either tanks or monster trucks, it is impossible to tell with any degree of certainty which is bigger. However, of the two, tanks are specifically designed for dealing out far greater destruction, and due to their armor are often far heavier than any monster truck could possibly be.
What is the normal distribution for clothing sizes?
You can find regulations about clothing sizes in the EN 13402 standard, and a series of physical measurements in the SIRI-dataset. Reading the standard, I see that t-shirt sizes (men), for example, are mainly based on chest circumferences. Size 'M' is suitable for chest circumferences between 94 and 102 cm. Size S is 8 cm smaller, size L is 8 cm bigger, XL is 16 cm bigger and XS is 16 cm smaller than size M. When I calculate the median and standard deviation of all the chest circumferences (adult males) I find in the SIRI-dataset, I find a median of 99.6 cm, and - surprise - a standard deviation of 8.4 cm. So, I tend to believe that clothing sizes follow, in some way, the normal distribution. Size M refers to the median size, and the intervals between the size codes have about the same value as the standard deviation. So, size S is one standard deviation smaller than size M, and XL is two standard deviations bigger than size M. If haven't checked other types of clothes and other physical sizes, so I cannot guarantee that my conclusion is correct for any type of garment.
What is the difference between the range and the interquartile range?
Range = maximum - minimum Interquartile range = Value of 75th percentile - value of 25th percentile. The 75th percentile is the value such that 25% of the observations are bigger and 75% are smaller.
What is the greatest common factor of 6 3 and 45?
The simplest is Euclid's method : Start with 45, 60 minimum is 45 : subtract minimum from bigger number(s): 45, 15 minimum is 15 : subtract minimum from bigger number(s): 30, 15 minimum is 15 : subtract minimum from bigger number(s): 15, 15 minimum is 15 , maximum is also 15 so GCF is 15.
-2 is maximum or -5 is maximum?
in pure mathematical sense -2 is bigger than -5
What is a really easy explanation of standard deviation?
Standard deviation tells you how spread out your set of values is compared with the average (of your set of values).For example, if you have the heights of all the players in a soccer football team, then you can work out the average height (the mean). But if you know the mean, that doesn't tell you much about the spread. If the average height is 180 cm, you don't know if ALL the players were 180 cm, or if they were all between 175 and 195 cm. You don't know if one of them was 210 cm, or if some were really short. If we know the SPREAD then we have some extra information.The standard deviation is the average difference between a player's height and the average for the team. So if the team average height is 180 cm, and the standard deviation is small, say 4 cm, then you know that most players are between 176 and 184 cm. If the standard deviation is large (say 18 cm) then most players are between 162 and 198 cm, a much bigger range!! So the standard deviation really does tell you something about your data.Basically, standard deviation is when you measure the differences between your players and the average height. Some will be shorter than average (with a negative difference) and some will be taller than average (with a positive difference). And some may have a zero difference (if they are the same height as the mean).If you add up all these differences, the negative ones will cancel out the positives, and you won't get any useful information. So you SQUARE all the differences first before you add them up. When you square a negative number it becomes positive (-2 times -2 = +4). Then you get the average of all the squared differences (add them all up and divide the number of answers, that is, eleven). So for our eleven players, square the difference between each one's height and the average. Add them all together, and divide by 11. This answer is called the VARIANCE.(If you were only measuring a sample of the team you would divide by 10 [one FEWER than the total number], but because you measured the whole population of the team, you divide by 11.)Get the square root of the variance (remember you squared all the numbers, now you unsquare them), and the answer is the standard deviation. (Square root is the opposite of squared. Four squared = 16. The square root of 16 is 4.)Here it is again:Get the average (mean) of the heights of all your players.Work out all the differences between their heights and the average. Shorter players will have a negative difference, taller players will have a positive.Square each difference (Square means multiply it by itself, eg, -8 x -8 = +64). All the answers will be positive.Add all the answers together and divide by 11. This number is called the Variance.Get the square root of the Variance and THAT is the Standard Deviation.A small standard deviation (3 or 4 cm) tells you that most of the team are about the same size. A large standard deviation (15 to 20 cm) tells you that you have a bigger spread, and might have some really tall, and some really short. Answer:The question actually asked for "a really easy explanation". Now, although it is not an easy concept for any really easy explanation, I'm sure we can simplify a little the great mass that we have above for the average 'JoeBlow'.Standard deviation is, as mentioned above, a measure of "the spread", or how far spread apart, from the average of all the figures you are considering, or of all the set of measurements you have made about something.To possess meaning, we express this 'spread' using numbers. 1 standard deviation, for instance, ABOVE the average, or mean, of all the values in your sample is the point at which 34% of the values nearest, but above the mean lie. On the other hand, the 34% of numbers closest to the mean, but Below the mean is called the -1 standard deviation value. So 68% of all the values in your sample fall inside 1 standard deviation above the mean and 1 standard deviation below the mean. This region will, therefore, possess the middle 68% of all the values in your sample - which is most of them really.
What is the difference between maximum and minimum temperature of a day?
The maximum temperature of a day is the highest temperature recorded during that day, while the minimum temperature is the lowest temperature recorded. These values help to understand the range of temperatures experienced during a particular day.
How can a fully developed sea have waves that are bigger or smaller than the maximum theoretical size?
A fully developed sea have waves that are bigger or smaller than the maximum theoretical size due to constructive or destructive interference. Factors that affect maximum wave size includes wind speed, wind duration, and fetch.
What is the maximum file size for a place on roblox?
There is no maximum file size for a Roblox place. It depends on how large of a computer you have and how fast it is. the larger the computer, the bigger the file.
